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International Journal of AI
for Material and Design Integrating physics data for DL in DED
post-process information, as shown in Figure 1. Pre-process data within the Laser, Feeding, Scanning, and Material and
data consist of information that influences the control of design categories. These “overlap” data play an important
the DED machine, which is experimentally obtainable. This role in the execution of a DED simulation. Post-process
information includes parameters such as Laser, Feeding, datasets refer to experimentally obtained output from
Scanning, and Material and design. In-process datasets the DED process, such as Geometrical characteristics,
are acquired through simulation, specifically the “overlap” Microstructure, Mechanical Properties, and Defects.
Figure 1. Classification of pre-, in-, and post-process data obtained in the directed energy deposition process.
Volume 1 Issue 1 (2024) 46 https://doi.org/10.36922/ijamd.2355
